deep-learning-research

Here are 8 public repositories matching this topic...

Kaleidophon / awesome-experimental-standards-deep-learning

Repository collecting resources and best practices to improve experimental rigour in deep learning research.

machine-learning deep-neural-networks research deep-learning resources awesome-list deep-learning-papers deep-learning-tutorial experimental-design deep-learning-research

Updated Mar 30, 2023
Python

dendisuhubdy / vfae

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Variational Fair Autoencoder (Research)

deep-learning-research

Updated Oct 26, 2022
Python

Griffith-7 / Hyper-transformer

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A PyTorch research evolution of language models from standard Euclidean transformers to adaptive hybrid-manifold architectures with spiking neural networks.

machine-learning pytorch transformer spiking-neural-networks hyperbolic-geometry neuromorphic-computing deep-learning-research mainfold-ai-learning

Updated Jul 14, 2026
Python

This repository offers a Python Package for the PyTorch implementation of the APTx activation function, as introduced in the paper "APTx: Better Activation Function than MISH, SWISH, and ReLU's Variants used in Deep Learning".

machine-learning research deep-learning pytorch swish relu aptx pytorch-implementation pypi-package deep-learning-research activation-function mish relu-activation aptx-activation aptx-activation-function aptx-function relu-function swish-function mish-function

Updated Mar 11, 2026
Python

Sappymukherjee214 / Noise-Induced-Hallucination-in-VLMs

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VAlign-Robust: A research framework for quantifying and mitigating semantic hallucination drift in Vision-Language Models (VLMs) under sensory degradation and adversarial noise.

information-theory pytorch explainable-ai deep-learning-research adversarial-robustness hallucination-detection vision-language-models multimodal-safety vlm-robustness multimodal-benchmarking

Updated Mar 31, 2026
Python

dendisuhubdy / styleGAN

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styleGAN implementation Pytorch (Research)

deep-learning-algorithms deep-learning-research

Updated Mar 9, 2019
Python

marcoshernanz / multi-head-mhc

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Multi-head mHC (manifold-constrained hyper-connections): code, raw results of 629 TPU runs, and the paper

transformers language-models tpu deep-learning-research residual-connections hyper-connections

Updated Oct 16, 2026
Python

JunyiDu2009 / AquariusDiffusion

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Native low-bit (NLT) diffusion models — the weights live in the quantized space from step 0 instead of being compressed after fp16 pre-training. Home of the AquariusImage series: Aquarius Terimage (ternary text-to-image, released) and Aquarius Binimage (planned).

research pytorch image-generation gradio text-to-image from-scratch model-compression efficient-inference diffusion-model deep-learning-research ternary-quantization quantization-aware-training low-bit-quantization int4 stable-diffusion generative-ai native-low-bit-training

Updated Oct 20, 2026
Python

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deep-learning-research

Here are 8 public repositories matching this topic...

Kaleidophon / awesome-experimental-standards-deep-learning

dendisuhubdy / vfae

Griffith-7 / Hyper-transformer

mr-ravin / aptx_activation

Sappymukherjee214 / Noise-Induced-Hallucination-in-VLMs

dendisuhubdy / styleGAN

marcoshernanz / multi-head-mhc

JunyiDu2009 / AquariusDiffusion

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